Chaimae Bouyarmane's Projects
In this project we applied Correspondence Analysis (AFC) to uncover hidden relationships between tourist nationalities and years, contributing to a deeper understanding of the dynamics of tourist arrivals in Morocco.
Repository for comparing computer vision models for age estimation. Includes a custom model and adaptations of VGG16, InceptionV3, and ResNet50 to our dataset.
Our project leverages data mining techniques, including Apify, Airflow, BERT, PostgreSQL, and Power BI, to conduct in-depth sentiment analysis for bank branches. We successfully identify customer sentiments, highlight positive and negative aspects, and provide valuable insights for enhancing the customer experience and gaining a competitive edge.
This repository serves as a hands-on implementation of a Big Data platform focused on processing parliamentary data from the website of the Moroccan Parliament. The project aims to calculate Key Performance Indicators (KPIs) to evaluate the engagement level of each government.
This repository contains the source code of a chatbot for a medical practice. It is based on a microservices architecture and uses a large language model to generate relevant and natural responses, following the RAG principle.
This warehouse is made for storing and studying insurance claims data for vehicles serviced at designated branches.
This project showcases a cutting-edge trash can equipped with sensors and smart functionality. By automatically opening its lid when someone approaches, detecting its fill level to prevent overflows, and sending alerts for timely collection, our Smart Trash Can enhances convenience and efficiency in everyday life.
This repository implements a Job Recommendation System using Machine Learning (ML) and Natural Language Processing (NLP). Designed to recommend job offers based on skill similarity, the system is developed in Python and offers a user-friendly interface through a Flask web application.
Realization of a Dashboard in Open Data using Node-Red
This project aims to leverage the powerful capabilities of the Amine platform to create a structured ontology from the extensive data found in the "My First Incredible Amazing Dictionary"
This repository features a streamlined patient management application built on the Spring Boot and Spring Cloud frameworks, following microservices architecture. The primary goal is to implement observability patterns, enhancing the system's efficiency in managing healthcare elements: doctors, patients, and appointments.
Our project addresses the Traveling Salesman Problem (TSP), a complex challenge in computer science and operations research. We've built an application that utilizes dynamic programming and the Greedy Variable Neighborhood Search (GVNS) approach to solve the TSP efficiently.